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Analyze article and determine cultural category





Id : 2250

Author :
Zhang X.; Zhang W.; Zhao Y.C.; Zhu Q.

Title


Imbalanced volunteer engagement in cultural heritage crowdsourcing: a task-related exploration based on causal inference

Reference :


Zhang X.; Zhang W.; Zhao Y.C.; Zhu Q. Imbalanced volunteer engagement in cultural heritage crowdsourcing: a task-related exploration based on causal inference,Information Processing and Management 59 5

Link to article https://www.scopus.com/inward/record.uri?eid=2-s2.0-85134780556&doi=10.1016%2fj.ipm.2022.103027&partnerID=40&md5=828691353554b296a4a9e384f2773c20
Abstract As the crowdsourcing approach is increasingly being used for digitizing cultural heritage artifacts, there is a rising need for volunteer engagement in such collaborative digital humanities projects. This study focuses on the less explored topic of imbalanced volunteer engagement (IVE); it refers to the fact that most volunteers tend to focus only on a small portion of tasks, making it challenging to sustain cultural heritage crowdsourcing (CHC) projects. Using a public dataset containing 145,168,535 items captured from the Australian Newspaper Digitisation Project, we utilized a machine learning-based causal inference approach to investigate the IVE problem by examining the causal relationships between task content characteristics and volunteer engagements. We used the directed acyclic graph (DAG) to represent the structure, such that a causal relationship consisting of 11 nodes and 16 edges was obtained. Specifically, four causes, including task category, word count, number of task lists, and whether the task was illustrated, directly affect IVE. We further discuss these findings from a theoretical perspective and suggest three propositions: a) nudge-like intervention of a task list, b) subjective (perceived) low task complexity, and c) attraction of task presentation, alleviating the IVE problem. This study contributes to the literature on volunteer engagement in the CHC context and sheds new light on the design and implementation of collaborative digital humanities projects. © 2022



Results:


                    Category                    

             Certainity            
Heritage 0.9971
Archives 0.0000
Libraries 0.0001
Book and Press 0.0000
Visual Arts 0.0018
Performing Arts 0.0000
Audiovisual and Multimedia 0.0000
Architecture 0.0002
Adverstizing 0.0000
Art crafts 0.0001
General cultural dimension 0.0007
Note: Due to lack of computing power, results have been previously created and saved in database